Down Jacket Occlusion Image Dataset
#object detection #image classification #fashion detection #image segmentation #computer vision
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
The retail e-commerce industry is facing challenges with accurately detecting clothing items in images where occlusions occur, such as scarves overlapping or model poses obscuring parts of the clothing. Existing datasets often lack diverse occlusion scenarios, limiting the effectiveness of image recognition models. This dataset aims to bridge that gap by providing a comprehensive collection of images featuring various occlusions for down jackets. The data is collected from various online retail platforms, ensuring a wide variety of poses and environmental conditions. Each image undergoes a multi-step quality control process, including multiple rounds of annotation by trained personnel and consistency checks by domain experts. The dataset is organized in JPG format, with each image stored alongside its corresponding annotations in a structured manner.
Dataset Insights
Sample Examples
e1546af9**.jpg|1224*1632|169.85 KB
96a568db**.jpg|1864*4032|2.78 MB
040d36e4**.png|2160*2255|4.93 MB
6d697314**.png|2160*2519|4.86 MB
fdd34748**.jpg|1224*1632|259.11 KB
01f38daf**.jpg|1864*4032|2.08 MB
9b947094**.jpg|1080*720|75.49 KB
493bee71**.jpg|1864*4032|770.44 KB
6b78a1ca**.jpg|1204*2608|313.22 KB
9d6d2986**.jpg|1204*2608|333.50 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| bounding_box | array | A set of coordinates used to label the bounding box of the down jacket in the image. |
| occlusion_level | string | Indicates the level of occlusion of the down jacket in the image, such as low, medium, or high. |
| color | string | The main color of the down jacket in the image. |
| texture | string | Distinct texture features on the surface of the down jacket. |
| pattern_type | string | The type of pattern on the down jacket, such as stripes, plaid, solid color, etc. |
| clothing_partially_visible | string | The names of garment parts partially visible in the image due to occlusion. |
| pose_angle | float | The angle at which the down jacket is photographed in the image. |
| lighting_condition | string | The lighting conditions when photographing the down jacket, such as natural light or indoor light. |
| background_clutter | string | Evaluation of the clutter level of the image background, such as clean, moderate, or cluttered. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What is the purpose of the down jacket product occlusion recognition image dataset?
- This dataset is used to improve the technical performance of recognizing down jacket products in various occlusion situations.
- What is the main application area of the down jacket product occlusion recognition image dataset?
- The primary application of this dataset is in the retail sector, assisting merchants in improving product recognition and management processes.
- How does this dataset promote the development of object detection technology?
- By providing diverse occlusion scenarios, this dataset supports the training and testing of more accurate and robust object detection models.
- What are the advantages of using the down jacket product occlusion recognition image dataset?
- The dataset allows developers to encounter more recognition challenges in extreme environments, improving model performance in handling occluded product recognition.
- How does SEO keyword analysis apply to the dataset for down jacket product recognition?
- By using related long-tail keywords in the dataset details, the visibility of the dataset page in search engines can be improved, thereby attracting more target users.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Down Jacket Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/607dd93b0a1c4c977810050b9fe6c776?dataset_scene_id=9},
urldate={2025-08-28},
keywords={down jacket dataset,occlusion detection,image classification dataset,fashion AI,computer vision dataset},
version={1.0}
}Using this in research? Please cite us.
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